* Authors have both industrial and academic experiences * Case studies are included reflecting author's industrial experiences * Downloadable tutorials are available .
Deals with the fundamentals of genetic algorithms and their applications in a variety of different areas of engineering and science. This book includes the MATLAB codes and... Læs mere
Learn the science of collecting information to make effective decisions Everyday decisions are made without the benefit of accurate information. Optimal Learning develops the needed... Læs mere
The book begins with a chapter on traditional methods of supervised learning, covering recursive least squares learning, mean square error methods,... Læs mere
The integration of machine learning techniques and cartoon animation research is fast becoming a hot topic.
Steganography is the art of communicating a secret message, hiding the very existence of a secret message. This book is an introduction to steganalysis as part of the wider trend of multimedia forensics, as well as a practical tutorial on machine learning in this context.
An interdisciplinary framework for learning methodologies, covering statistics, neural networks, and fuzzy logic, Learning from Data provides a unified treatment of the principles and methods for learning dependencies from data.
Solving imbalanced learning problems is critical in numerous data-intensive networked systems, including surveillance, security, Internet, finance, biomedical, and defense, to name a few.
The modern financial industry has been required to deal with large and diverse portfolios in a variety of asset classes often with limited market data available.
This text presents significant and historic papers on evolutionary computation ranging from the 1950s to the early 1990s. Introductions to each paper provide... Læs mere